Journal article
A novel, data-driven conceptualization for critical left heart obstruction
Computer methods and programs in biomedicine, Vol.165, pp.107-116
10/01/2018
DOI: 10.1016/j.cmpb.2018.08.014
PMID: 30337065
Abstract
Background: Qualitative features of aortic and mitral valvar pathology have traditionally been used to classify congenital cardiac anomalies for which the left heart structures are unable to sustain adequate systemic cardiac output. We aimed to determine if novel groups of patients with greater clinical relevance could be defined within this population of patients with critical left heart obstruction (CLHO) using a data-driven approach based on both qualitative and quantitative echocardiographic measures.
Methods: An independent standardized review of recordings from pre-intervention transthoracic echocar-diograms for 651 neonates with CLHO was performed. An unsupervised cluster analysis, incorporating 136 echocardiographic measures, was used to group patients with similar characteristics. Key measures differentiating the groups were then identified.
Results: Based on all measures, cluster analysis linked the 651 neonates into groups of 215 (Group 1), 338 (Group 2), and 98 (Group 3) patients. Aortic valve atresia and left ventricular (LV) end diastolic volume were identified as significant variables differentiating the groups. The median LV end diastolic area was 1.35, 0.69, and 2.47 cm(2) in Groups 1, 2, and 3, respectively (p < 0.0001). Aortic atresia was present in 11% (24/215), 87% (294/338), and 8% (8/98), in Groups 1, 2, and 3, respectively (p < 0.0001). Balloon aortic valvotomy was the first intervention for 9% (19/215), 2% (6/338), and 61% (60/98), respectively (p < 0.0001). For those with an initial operation, single ventricle palliation was performed in 90% (176/215), 98% (326/338), and 58% (22/38) (p < 0.0001). Overall mortality in each group was 27% (59/215), 41% (138/338), and 12% (12/98) (p < 0.0001).
Conclusions: Using a data-driven approach, we conceptualized three distinct patient groups, primarily based quantitatively on baseline LV size and qualitatively by the presence of aortic valve atresia. Management strategy and overall mortality differed significantly by group. These groups roughly correspond anatomically and are analogous to multi-level LV hypoplasia, hypoplastic left heart syndrome, and critical aortic stenosis, respectively. Our analysis suggests that quantitative and qualitative assessment of left heart structures, particularly LV size and type of aortic valve pathology, may yield conceptually more internally consistent groups than a simplistic scheme limited to valvar pathology alone. (C) 2018 Elsevier B.V. Allrights reserved.
Details
- Title: Subtitle
- A novel, data-driven conceptualization for critical left heart obstruction
- Creators
- James M. Meza - Hosp Sick Children, Div Cardiovasc Surg, Toronto, ON, CanadaMartijn Slieker - Radboud University Medical CenterEugene H. Blackstone - Cleveland ClinicLuc Mertens - Hosp Sick Children, Labatt Family Heart Ctr, Toronto, ON, CanadaWilliam M. DeCampli - Arnold Palmer Hospital for ChildrenJames K. Kirklin - University of Alabama at BirminghamMohsen Karimi - Yale New Haven HospitalPirooz Eghtesady - St. Louis Children's HospitalKamal Pourmoghadam - Arnold Palmer Hospital for ChildrenRichard W. Kim - Children's Hospital of Los AngelesPhillip T. Burch - Primary Children's HospitalMarshall L. Jacobs - Johns Hopkins Heart & Vasc Inst, Div Cardiac Surg, Baltimore, MD USATara Karamlou - Phoenix Children's HospitalBrian W. McCrindle - Arnold Palmer Hospital for ChildrenCongenital Heart Surgeons’ Society
- Resource Type
- Journal article
- Publication Details
- Computer methods and programs in biomedicine, Vol.165, pp.107-116
- Publisher
- Elsevier
- DOI
- 10.1016/j.cmpb.2018.08.014
- PMID
- 30337065
- ISSN
- 0169-2607
- eISSN
- 1872-7565
- Number of pages
- 10
- Grant note
- Congenital Heart Surgeons' Society's John W. Kirklin/David Ashburn Fellowship Hospital for Sick Children Division of Cardiovascular Surgery
- Language
- English
- Date published
- 10/01/2018
- Academic Unit
- Cardiothoracic Surgery
- Record Identifier
- 9984557845202771
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